Debate the extent that edge cases define the development of autonomous vehicles and which test cases can we cover with simulation and which not. Explore the challenges of virtual kilometers (simulations, HIL/SIL) as a potential industry validation method

All you need to know about the impact as well as application of AI, machine learning, deep learning, in the development of self-driving cars level 4+

Understand the state of the art algorithms for computer vision and machine learning including those most important for the automotive industry

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Key Topics 2018

What is the state of the most state of the art algorithms for computer vision and machine learning? What role will Deep Neural Networks (DNN) have in future self-driving cars and what will the associated challenges of this be? What are the implications of machine learning for functional safety? What level of traceability is possible with neural networks? How much real-time data and decision logs can we access? Can we really implement end-to-end learning or is it better use hybrid approaches? What are the key challenges in AI and perception technologies for autonomous vehicles?

Virtual & Real Life Testing, Validation & Simulation

To what extent do edge cases define the development of autonomous vehicles? Which test cases can we cover with simulation and which not? Will virtual kilometers (simulations, HIL/SIL) be accepted as an industry validation method? What can we learn from the latest research in advanced, large-scale testing of autonomous vehicles and validation methods? What are the challenges behind using synthetic data for validation?

Key Topics 2018

Which kind of sensors provides the most value? How to push hard for cost optimization without comprising safety? Do we need deep learning for sensor fusion? Can radar sensors replace ultra-sonic sensors completely? Which sensors are most suitable for data fusion in close range? Which combinations of sensors will be required for robust machine perception in HAD? To what extent are high-resolution maps required for offering context information for scene understanding?

How far can vehicle architectures solve the functional safety need for autonomous vehicles? What are the challenges to step from fail-safe to fail-operational architectures as a foundation of machine learning systems in autonomous vehicles? What is the case for a flexible fusion architecture? How to understand the system architecture for automated driving and scale-up system architectures? What are the challenges in the development and testing of fail-operational automated driving architectures? What are the newest concepts, challenges, use cases & game changers to the new AUTOSAR Adaptive Platform for Connected and Autonomous Vehicles?

The Tech.AD Business & Technology Sessions

What are the key challenges in the Cybersecurity of Autonomous Vehicle Platooning? What are the different control algorithms? How do different wireless technologies perform in high-density truck platooning achieved with vehicle-to-vehicle (V2V) communications? What results and challenges do we see from the early deployment of autonomous shuttles and autonomous platoons? What data is already being collected, what data is missing and what are future research requirements?

In what areas are ISO 26262 insufficient? Does SOTIF fully close the gap where ISO 26262 is insufficient? How to achieve functional safety for autonomous vehicles? How can we ensure functional safety with AI and machine learning? What do we still need to do to achieve functional safety for deep learning algorithms?

V2X, V2V & Connected Vehicle Technologies

How can we leverage V2V and V2Cloud communications to automate trucks? What can we learn from this for autonomous passenger vehicles? How will 5G drive and accelerate the development of autonomous vehicles? What new opportunities will 5G create for autonomous driving? What current challenges on the road to level 5 could 5G resolve? What information could now be transferred through V2V with the support of 5G and how can it be used in the processing of data collection from machine learning, sensors etc?

Say Hello

Get the show on the road. Discover who is joining the conference and why. To warm you up for the conference we invite you to get to know your conference peers. Have your business cards ready.

Case Study

Selected brand new case studies from the industry offering insights into strategic approaches, project planning, and operative realization. Learn from the most successful practices and use these real business results for benchmarking with the competition.

Icebreaker

Roundtables on the evening before the first conference day. The Icebreaker is a first informal networking.

Challenge your Peers

Parallel roundtable discussions offer the delegates the possibility to talk about their own challenges.

Meet! Tech.AD Detroit

Discover who else is participating at the Tech.AD Detroit. Our unique Polaroid Picture Wall will help you identify who you want to meet at the conference.

Breakfast Club

Start the conference with coffee and… NETWORKING! Join the we.CONECT Breakfast Club – an exclusive area in your hotel – and get into a conversation with other delegates already while having your first coffee.

Networking Dinner

Wind down, enjoy great food and drink in a relaxed atmosphere to absorb all the new stimulations from the day.

Training Session

An environment that allows participants to be guided through specific topics from experts in small groups.

Tweetback & Connect

The unique interactive live feedback system! Note down your thoughts on comment cards which will be pinned on walls in the networking area for further discussion.

Auto Scale StartUp Lounge

we.CONECT gives you the opportunity to showcase your work and ideas and provides an excellent opportunity for start-up level companies to showcase their best in-car technologies, software and smart mobility concepts for autonomous and connected vehicles.

Tech.AD Award

With the Tech.AD Award, distinguished expertise, and exceptional projects from within companies and organizations are exclusively recognized, celebrated and honored by we.CONECT Business Leaders.

It is an excellent initiative, that aims at promoting the deserved reputation among the event’s delegates, partners and within the whole expert community.

Pre-Event Workshop

In this session, you will build and train convolutional neural networks for perception.

Tech.AD Driving Day I Deep Drive

Our advanced educational workshops, delivered by industry professionals, will cover the advanced principles of developing autonomous vehicles and showcase the latest technologies in the fields of functional and operational safety, embedded systems and architectures, validation techniques and sensor/perception technologies.

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